Computational analysis of VDR gene and its product using Bioinformatics tools

Volume: 4 Number: 3 December 1, 2007
  • Lokman Varıslı
  • Abdullah Ozgonul
  • Osman Cen
TR EN

Computational analysis of VDR gene and its product using Bioinformatics tools

Abstract

Background: The aims of this study was to analyze some properties of this gene and its products; such as the homologous protein sequences to human VDR molecule, the common transcription factor binding sites on promoter sequences, phylogenetic relationships of the conserved domains, and in silico expression profiles based on EST data that presence in ESTdb in all investigated. Methods: We investigated the homology, conserved domain, promoter and expression profiles of the VDR gene based on EST data from the ESTdb by using bioinformatics tools in different species. Results: The results of this study indicated that VDR molecule is middling conserved among all studied organisms; for example, human similar to Macaca mulatta 98% and Saguinus oedipus 98% , to Petromyzon marinus 59% . From the point of view of ZnF_C4 C4 zinc finger in nuclear hormone receptors and HOLI Ligand binding domain of hormones domains, it was obtained several similar motifs. Separately, it was seen that there was significantly difference gene expression in normal and cancer tissues of brain in human. Conclusion: This study demonstrated that there was no common transcription factor binding sites in promoter VDR gene in different species. Phylogenetic trees constructed using the neighbor-joining method NJ revealed a close evolutionary relationship of ZnF_C4 and HOLI in various species

Keywords

References

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Details

Primary Language

English

Subjects

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Journal Section

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Authors

Lokman Varıslı This is me

Abdullah Ozgonul This is me

Osman Cen This is me

Publication Date

December 1, 2007

Submission Date

-

Acceptance Date

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Published in Issue

Year 2007 Volume: 4 Number: 3

APA
Varıslı, L., Ozgonul, A., & Cen, O. (2007). Computational analysis of VDR gene and its product using Bioinformatics tools. Harran Üniversitesi Tıp Fakültesi Dergisi, 4(3), 84-90. https://izlik.org/JA32DL84JC
AMA
1.Varıslı L, Ozgonul A, Cen O. Computational analysis of VDR gene and its product using Bioinformatics tools. Harran Üniversitesi Tıp Fakültesi Dergisi. 2007;4(3):84-90. https://izlik.org/JA32DL84JC
Chicago
Varıslı, Lokman, Abdullah Ozgonul, and Osman Cen. 2007. “Computational Analysis of VDR Gene and Its Product Using Bioinformatics Tools”. Harran Üniversitesi Tıp Fakültesi Dergisi 4 (3): 84-90. https://izlik.org/JA32DL84JC.
EndNote
Varıslı L, Ozgonul A, Cen O (December 1, 2007) Computational analysis of VDR gene and its product using Bioinformatics tools. Harran Üniversitesi Tıp Fakültesi Dergisi 4 3 84–90.
IEEE
[1]L. Varıslı, A. Ozgonul, and O. Cen, “Computational analysis of VDR gene and its product using Bioinformatics tools”, Harran Üniversitesi Tıp Fakültesi Dergisi, vol. 4, no. 3, pp. 84–90, Dec. 2007, [Online]. Available: https://izlik.org/JA32DL84JC
ISNAD
Varıslı, Lokman - Ozgonul, Abdullah - Cen, Osman. “Computational Analysis of VDR Gene and Its Product Using Bioinformatics Tools”. Harran Üniversitesi Tıp Fakültesi Dergisi 4/3 (December 1, 2007): 84-90. https://izlik.org/JA32DL84JC.
JAMA
1.Varıslı L, Ozgonul A, Cen O. Computational analysis of VDR gene and its product using Bioinformatics tools. Harran Üniversitesi Tıp Fakültesi Dergisi. 2007;4:84–90.
MLA
Varıslı, Lokman, et al. “Computational Analysis of VDR Gene and Its Product Using Bioinformatics Tools”. Harran Üniversitesi Tıp Fakültesi Dergisi, vol. 4, no. 3, Dec. 2007, pp. 84-90, https://izlik.org/JA32DL84JC.
Vancouver
1.Lokman Varıslı, Abdullah Ozgonul, Osman Cen. Computational analysis of VDR gene and its product using Bioinformatics tools. Harran Üniversitesi Tıp Fakültesi Dergisi [Internet]. 2007 Dec. 1;4(3):84-90. Available from: https://izlik.org/JA32DL84JC

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